Contributed discussion on article by Pratola [Comment on "M.T. Pratola, Efficient metropolis-hastings proposal mechanisms for Bayesian regression tree models"]
Source
Bayesian Analysis, 11, 3, (2016), pp. 938-940ISSN
Publication type
Article / Letter to editor
Display more detailsDisplay less details
Organization
SW OZ DCC AI
Journal title
Bayesian Analysis
Volume
vol. 11
Issue
iss. 3
Languages used
English (eng)
Page start
p. 938
Page end
p. 940
Subject
Cognitive artificial intelligence; DI-BCB_DCC_Theme 4: Brain Networks and Neuronal CommunicationAbstract
The author should be commended for his outstanding contribution to the literature on Bayesian regression tree models. The author introduces three innovative sampling approaches which allow for efficient traversal of the model space. In this response, we add a fourth alternative.
This item appears in the following Collection(s)
- Academic publications [246216]
- Electronic publications [133878]
- Faculty of Social Sciences [30432]
- Open Access publications [107361]
Upload full text
Use your RU credentials (u/z-number and password) to log in with SURFconext to upload a file for processing by the repository team.